Field
Status / Value
Description

WoS

Not Indexed

Scopus

PubMed

Not Indexed

SJR

Q3

Google Scholar

Indexed

Cross Ref DOI

Not Available

Impact Factor

HEC

Not Indexed

ISSN

2373-7867

Country

Publisher

Letters in Biomathematics

Journal Description

Letters in Biomathematics is a multidisciplinary, peer-reviewed, open-access journal dedicated to publishing high-quality research that applies mathematical, statistical, computational, and quantitative methods to the study of biological systems. The journal serves as an international platform for researchers working at the interface of mathematics, biology, computer science, engineering, and medicine, promoting integrative approaches that combine theory, data, and real-world applications. By fostering interdisciplinary collaboration, the journal supports innovative research that advances both mathematical methodology and biological understanding.

The journal publishes original research articles, short communications, and methodological contributions that address complex biological problems using rigorous quantitative frameworks. Through a strong commitment to scientific excellence, transparency, and reproducibility, Letters in Biomathematics ensures the dissemination of reliable and impactful research. Indexed in major international databases, including Scopus and MathSciNet, the journal provides wide global visibility and serves as a leading forum for contemporary biomathematics research.

Focus and Scope

Letters in Biomathematics focuses on both theoretical and applied research that employs mathematical modeling, computational simulation, statistical analysis, and data-driven approaches to investigate biological phenomena. Core areas include cancer systems biology, immunology, pharmacometrics, microbiome dynamics, synthetic biology, biomechanics, neurobiology, and developmental biology. The journal welcomes studies that address biological complexity through multi-scale, mechanistic, and systems-level modeling frameworks.

In addition, the journal emphasizes emerging fields such as machine learning in biology, spatial and single-cell omics analysis, environmental and planetary health modeling, epidemiology, and digital health. It also encourages contributions on numerical methods, high-performance computing, reproducibility standards, and educational innovations in biomathematics. By integrating quantitative theory with empirical research and practical applications, Letters in Biomathematics aims to advance biomathematics as a foundational discipline in modern life science research and to support evidence-based decision-making in health, environmental, and policy contexts.

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